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Customer data is more widely available than ever, but leveraging data to drive smarter decisions requires new thinking and a new kind of agility. Cloud-based decision management – the seamless marriage of data-driven insights and codified decision logic with applications that reach your customers where and when they want – is the key to operationalizing analytics to automate and optimize customer engagements. The FICO Analytic Cloud is where this journey begins…

For Industries:

Overview

Production schedules are key enablers of success for businesses across the manufacturing industry. For many companies in the continuous process industries (oil and gas exploration and processing, petrochemicals, mining, minerals and metals), however, production schedules are created through a surprisingly low-tech approach: Humans working manually with spreadsheets.

In this case study, learn how Honeywell Process Solutions used FICO optimization as the foundation of an automated, cutting edge scheduling solution to market and sell to process manufacturers that can lead to millions in dollars of savings. Use cases include crude-oil marine and pipeline scheduling, refinery crude oil scheduling and optimization, process unit scheduling, blend scheduling and optimization, and product distribution to terminals.

For Industries:

Overview

After six years in business, Kabbage reached out to FICO for a better way to support the real-time lending decisions it makes every day using online third-party transaction data. “Technology is a vital part of our DNA,” explains Kathryn Petralia, Cofounder and Chief Operating Officer at Kabbage. “We knew we needed a solid technical foundation and reliable partners to help us scale our business. But the third-party decisioning technology we originally licensed turned out to be hard to work with, and the custom functionality we built next became unmanageable.”

For Industries:

Overview

Not only does this multinational online retailer manage the entire sales process for nearly 5 million sellers and over 100 million buyers, it also takes on the risks of negative behaviors on both sides of the deal, including fraud, unmet service level agreements and lack of payment. After reviewing profits, the retailer determined it wasn’t meeting risk objectives in the seller arm of its business.

The retailer’s process for onboarding and monitoring new sellers included verifying they actually have the products they’re selling and protecting the buyer from poor business practices. One key method was to place limitations on the amount of business activity the seller can transact until they prove they’re legitimate. Unfortunately, the process was largely manual, making it difficult to manage. The retailer knew it needed a more precise and scalable solution given the large number of sellers in the portfolio. It turned to FICO for expertise in analytics, risk and creating onboarding processes.

For Industries:

Overview

A provider of diversified financial services since 1889, Trustmark has broadened its customer base over the years by expanding its product line as well as the services it provides. It remains focused on the evolving role of technology in meeting its goals, keeping a superior customer experience as a top priority.

For Industries:

Overview

Banks that specialize in personal lending products understand that it is essential to have a fast and effective originations process. This large South America bank had been operating with a manual originations process for years. As it continued to grow, the bank realized it needed an automated process leveraging analytics in order to gain the speed and flexibility required for meeting aggressive application goals. This case study illustrates how the bank leveraged the FICO® Decision Management Platform to overhaul its originations process across three portfolios in order to increase revenue and market share, as well as automate internal processes.

For Industries:

Overview

Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.

For Industries:

Overview

Rising Egyptian demand for credit and government encouragement for more private sector lending are creating opportunities for banks and other credit grantors to increase their customer base, grow portfolios and generate more profit. To help creditors expand lending while controlling risk, I-Score is providing a fast-track to originations best practices, including product-specific risk scoring and rules-driven application processing. Its hosted origination services, offered in partnership with FICO, comply with Egyptian regulations, reflect local market conditions and fit individual lender business requirements — right out of the box.

For Industries:

Overview

A large bank in Southeast Asia brings analytical sophistication to bear on making decisions across its portfolio. As a core principle, the bank is very committed to creating and maintaining its own models. A large, in-house analytics team was building risk models using SAS for data mining, analytics and reporting. As the bank looked to implement a more aggressive risk policy, it knew the SAS tools weren’t enough. It needed a solution that would let them easily perform highly sophisticated modeling, quickly deploy those models

For Industries:

Overview

Technology organizations are under a great deal of pressure to both maintain internal legacy systems and add value to the company through technology innovation. The IT team at this large European bank wanted to break free from the constraints of its legacy system and add flexibility and control into its decision system.

For Industries:

Overview

In an effort to prevent another financial crisis, several regulations have been implemented over the past few years that require banks to operate with more transparency. This large multinational bank faced the significant challenge of developing new models required for compliance with IFRS 9 Impairment standards. The bank turned to FICO to interpret the intricacies of the new regulations and to develop predictive models that predict losses over the lifetime of an account.

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